NetIntel Language Detection is a paid API for AI agents from netintel-production-440c.up.railway.app, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Detects the language of a text input using character frequency analysis and n-gram pattern matching, returning the detected language name, ISO code, confidence score, and top alternative candidates.
Detect the language of any text input using character frequency analysis and n-gram pattern matching — returns the detected language, ISO code, confidence score, and top alternative languages so agents can route multilingual content, trigger translation workflows, and classify text without a paid NLP API.
Returns the detected language (e.g. 'French'), its ISO 639 code (e.g. 'fr'), a confidence score between 0 and 1, and a ranked list of top alternative language candidates with their own scores — enough to route or filter multilingual content reliably.
POSThttps://netintel-production-440c.up.railway.app/lang-detect/analyzeChoose this endpoint when you need lightweight, low-cost language detection without a paid NLP platform dependency. Ideal for routing multilingual content, pre-filtering before translation, or classifying user-submitted text in pipelines where cost per call matters. The confidence score and alternative candidates make it suitable for downstream decision logic.
{
"input": {
"body": {
"text": "Hello, this is a test message to detect the language. The quick brown fox jumps over the lazy dog."
},
"type": "http",
"method": "POST",
"bodyType": "json"
}
}| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"grade": "A",
"score": 100,
"script": "Latin",
"findings": [],
"confidence": "high",
"word_count": 19,
"text_length": 98,
"alternatives": [
{
"code": "nl",
"score": 0.11,
"language": "Dutch"
},
{
"code": "cs",
"score": 0.11,
"language": "Czech"
},
{
"code": "hu",
"score": 0.11,
"language": "Hungarian"
}
],
"language_code": "en",
"is_multilingual": true,
"detected_language": "English"
}{
"type": "json",
"example": {
"grade": "A",
"score": 100,
"script": "Latin",
"findings": [],
"confidence": "high",
"word_count": 41,
"text_length": 214,
"alternatives": [
{
"code": "pl",
"score": 0.05,
"language": "Polish"
},
{
"code": "cs",
"score": 0.05,
"language": "Czech"
},
{
"code": "pt",
"score": 0.02,
"language": "Portuguese"
}
],
"language_code": "en",
"is_multilingual": false,
"detected_language": "English"
}
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